首页|基于证据权模型的退耕还林(草)驱动力因素分析——以陕西省吴起县为例

基于证据权模型的退耕还林(草)驱动力因素分析——以陕西省吴起县为例

Analysis of the Driving Forces of SLCP Based on the Weights of Evidence Model——A Case Study of Wuqi, Shaanxi Province

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以2000年、2011年的Landsat TM影像为数据源,通过遥感解译和GIS空间技术集成,得到吴起县两期土地利用覆盖分类图,采用证据权模型研究吴起县154个村2000-2011年退耕还林(草)的格局演变及内在驱动机制.结果表明:11年来,吴起县耕地面积显著减少,林地、草地面积明显增加;耕地有84.6%退耕成林地、草地,其中,耕地的坡度、距离公路的距离、人均耕地面积与退耕还林(草)的分布呈正相关关系;高程与退耕还林(草)的分布呈倒U形关系;道路密度与退耕还林(草)分布呈负相关关系,但是显著程度并不明显;阴坡退耕还林(草)面积相对于阳坡面积较大;距离农村道路的距离对退耕还林(草)的分布没有显著的影响.气象数据相关变量中,年均相对湿度与退耕还林(草)分布呈倒U形关系,20-20时平均年降水量与退耕还林(草)分布呈正相关关系.
Based on the data of the Landsat TM images in 2000 and 2011,the study aims to use the weights of evidence to get two classification maps of land use and cover in Wuqi County by interpreting remote sensing and GIS technology integration space,then to search the evolution pattern and the driving mechanism of Sloping Land Conversion Program (SLCP) in 154 villages of Wuqi during the two years.The results showed that the area of cultivated land in Wuqi reduced significantly,while the forestland and grassland area increased obviously in the past 11 years.84.6% of farmland was converted into forestland and grassland.The slope gradient,the distance from highway,and the per capita arable land area have the positive correlation with the distribution of SLCP;the distribution of SLCP and elevation have an inverted U-shape relationship;road density and the distribution of SLCP are negatively correlated,which is not significant;the area of SLCP in sunny slop is greater than in shady slop;the distance to rural roads has no significant effect on the distribution of SLCP.Among the variables related to meteorological data,annual average relative humidity and SLCP are invertedly U-shaped correlated,and 20-20 average annual precipitation and the distribution of SLCP are positively correlated.

Sloping Land Conversion Programdriving forcesthe weights of evidence modelGIS remote sensing interpretationWuqi County

度阳、张道军、姚顺波

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西北农林科技大学经济管理学院,陕西杨凌712100

退耕还林(草) 驱动力 证据权模型 GIS遥感解译 吴起县

研究得到林业公益性行业科研专项国家自然科学基金

20150442441602336

2017

水土保持研究
中国科学院水利部水土保持研究所

水土保持研究

CSTPCDCSCD北大核心
影响因子:1.194
ISSN:1005-3409
年,卷(期):2017.24(6)
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